Skill UI

This comprehensive guide details how to utilize the Bun runtime for modern, high-performance JavaScript and TypeScript development. It covers everything from initial setup and project scaffolding to advanced package management, running code, and leveraging built-in APIs like file system operations. It is designed for developers migrating from Node.js seeking superior speed and native tooling.

Automates HIPAA compliance checks across codebases, infrastructure configurations, and documentation by leveraging the hipaa-compliance-checker plugin to flag privacy, security, and access-control risks for projects handling PHI.

Clarity Gate ensures documents entering RAG knowledge bases retain epistemic quality by generating Clarity-Gated Documents, validating Source of Truth tables, and running deterministic claim/document hash scripts before ingestion.

This skill provides comprehensive guidance on leveraging d3.js (Data-Driven Documents) to create sophisticated, interactive, and publication-quality data visualizations. It covers core concepts like data binding, implementing various chart types (network graphs, geo-maps, etc.), handling complex transitions, and ensuring responsiveness across modern JavaScript frameworks (React, Vue, Vanilla JS). Learn the standard workflow for scale definition, axis creation, and drawing custom visual elements with fine-grained control.

This advanced workflow uses Claygent AI to perform deep research on target companies by scraping websites. It extracts critical data points such as funding rounds, tech stacks, and potential pain points. These insights are then leveraged to generate highly personalized, human-sounding email openers at scale, ensuring high relevance for targeted outreach campaigns.

A comprehensive guide to enhancing Clerk authentication performance within a Next.js application. Techniques covered include optimizing middleware routing, implementing React's cache() and unstable_cache() for data deduplication, optimizing token handling, utilizing dynamic imports for lazy loading, and leveraging Edge Runtime for faster cold starts. Ideal for reducing latency and improving user experience during authentication flows.

Automates guidance, code, and configuration for Google Cloud Function scenarios, helping engineers follow best practices for compute, storage, BigQuery, Vertex AI, and other GCP services.

Automates guidance for configuring Google Cloud Logging sinks, offering best practices, production-ready configurations, and validation steps across compute, storage, BigQuery, Vertex AI, and related services.

Guides GCP cloud monitoring alert tasks by detailing steps, configs, production-ready code, and validation whenever alert-related requests arise for compute, storage, BigQuery, Vertex AI, or native services.

Automates Cloud Run service configuration within GCP, providing step-by-step guidance, best practices, ready-to-deploy configs, and validation for compute, storage, BigQuery, and Vertex AI workflows.

Guides GCP users through automating Cloud Scheduler job creation with best practices, ready-to-run code, and validation, ideal for implementing cron-driven workloads across compute, storage, BigQuery, Vertex AI, and Cloud Run.

Automated Cloud SQL setup guidance that activates within GCP Skills and delivers step-by-step configuration, production-ready code, and validation against best practices for compute, storage, BigQuery, Vertex AI, and other GCP services.